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ORCIDMachine Learning, Volume 41, 2000
Volume 41, Number 1, October 2000
- Eibe Frank
, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten:
Naive Bayes for Regression (Technical Note). 5-25 - Marcus A. Maloof, Ryszard S. Michalski:
Selecting Examples for Partial Memory Learning. 27-52 - Zijian Zheng, Geoffrey I. Webb:
Lazy Learning of Bayesian Rules. 53-84 - Claire Cardie:
A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners. 85-116
Volume 41, Number 2, November 2000
- Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walters:
Maximizing Theory Accuracy Through Selective Reinterpretation. 123-152 - Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni:
Learning Changing Concepts by Exploiting the Structure of Change. 153-174 - David A. Bell, Hui Wang:
A Formalism for Relevance and Its Application in Feature Subset Selection. 175-195 - Peter Damaschke:
Adaptive Versus Nonadaptive Attribute-Efficient Learning. 197-215 - Attilio Giordana, Lorenza Saitta:
Phase Transitions in Relational Learning. 217-251
Volume 41, Number 3, December 2000
- Eva Armengol, Enric Plaza:
Bottom-Up Induction of Feature Terms. 259-294 - Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu:
Enlarging the Margins in Perceptron Decision Trees. 295-313 - João Gama, Pavel Brazdil:
Cascade Generalization. 315-343 - Lawrence K. Saul, Mazin G. Rahim:
Markov Processes on Curves. 345-363
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